An interpretable hybrid machine learning approach for predicting three-month unfavorable outcomes in patients with acute ischemic stroke
Abstract: Highlights•An interpretable hybrid ML model was constructed to accurately predict AIS three-month unfavorable outcomes.•This model provides practicality for routine and more frequent initial risk assessments.•This model is suitable for integrating into network or mobile-based telemedicine solutions.
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